模块化免疫神经网络平衡态检测模型

基于神经网络原理、免疫系统和遗传算法的相关机理,构造了一个网络安全平衡器。该平衡器建立了抗原与抗体平衡态检测的数学模型、抗原与抗体的促进和抑制函数,提出了安全平衡态的概念,给出了抗原与抗体浓度的计算公式和模块化多层分类处理模型,利用促进、抑制函数和遗传算法适应度函数使已受攻击的网络再次达到一种新的安全平衡状态,这为网络安全提供了一个新的途径。理论证明网络安全方案是有效的。

Multidisciplinary design optimization on production scale of underground metal mine

In order to ensure overall optimization of the underground metal mine production scale, multidisciplinary design optimization model of production scale which covers the subsystem objective function of income of production, safety and environmental impact in the underground metal mine was established by using multidisciplinary design optimization method. The coupling effects from various disciplines were fully considered, and adaptive mutative scale chaos immunization optimization algorithm was adopted to solve multidisciplinary design optimization model of underground metal mine production scale. Practical results show that multidisciplinary design optimization on production scale of an underground lead and zinc mine reflect the actual operating conditions more realistically, the production scale is about 1.25 Mt/a (Lead and zinc metal content of 160 000 t/a), the economic life is approximately 14 a, corresponding coefficient of production profits can be increased to 15.13%, safety factor can be increased to 5.4% and environmental impact coefficient can be reduced by 9.52%.

Multidisciplinary design optimization for air-condition production system based on multi-agent technique

In order to guarantee the overall production performance of the multiple departments in an air-condition production industry, multidisciplinary design optimization model for production system is established based on the multi-agent technology. Local operation models for departments of plan, marketing, sales, purchasing, as well as production and warehouse are formulated into individual agents, and their respective local objectives are collectively formulated into a multi-objective optimization problem. Considering the coupling effects among the correlated agents, the optimization process is carried out based on self-adaptive chaos immune optimization algorithm with mutative scale. The numerical results indicate that the proposed multi-agent optimization model truly reflects the actual situations of the air-condition production system. The proposed multi-agent based multidisciplinary design optimization method can help companies enhance their income ratio and profit by about 33% and 36%, respectively, and reduce the total cost by about 1.8%.

A Fuzzy-based Adaptive Genetic Algorithm and Its Case Study in Chemical Engineering

Considering that the performance of a genetic algorithm （GA） is affected by many factors and their rela-tionships are complex and hard to be described,a novel fuzzy-based adaptive genetic algorithm （FAGA） combined a new artificial immune system with fuzzy system theory is proposed due to the fact fuzzy theory can describe high complex problems.In FAGA,immune theory is used to improve the performance of selection operation.And,crossover probability and mutation probability are adjusted dynamically by fuzzy inferences,which are developed according to the heuristic fuzzy relationship between algorithm performances and control parameters.The experi-ments show that FAGA can efficiently overcome shortcomings of GA,i.e.,premature and slow,and obtain better results than two typical fuzzy GAs.Finally,FAGA was used for the parameters estimation of reaction kinetics model and the satisfactory result was obtained.

An Immune Self-adaptive Differential Evolution Algorithm with Application to Estimate Kinetic Parameters for Homogeneous Mercury Oxidation

A new version of differential evolution （DE） algorithm, in which immune concepts and methods are applied to determine the parameter setting, named immune self-adaptive differential evolution （ISDE）, is proposed to improve the performance of the DE algorithm. During the actual operation, ISDE seeks the optimal parameters arising from the evolutionary process, which enable ISDE to alter the algorithm for different optimization problems and improve the performance of ISDE by the control parameters＇ self-adaptation. The .performance of the proposed method is studied with the use of nine benchmark problems and compared with original DE algorithm ~nd-other well-known self-adaptive DE algorithms. The experiments conducted show that the ISDE clearly outperforms the other DE algorithms in all benchmark functions. Furthermore, ISDE is applied to develop the kinetic model for homogeneous mercury. （Hg） oxidation in flue gas, and satisfactory results are obtained.

Immune modelling and programming of a mobile robot demo

An artificial immune system was modelled with self/non-self selection to overcome abnormity in a mobile robot demo. The immune modelling includes the innate immune modelling and the adaptive immune modelling. The self/non-self selection includes detection and recognition, and the self/non-self detection is based on the normal model of the demo. After the detection, the non-self recognition is based on learning unknown non-self for the adaptive immunization. The learning was designed on the neural network or on the learning mechanism from examples. The last step is elimination of all the non-self and failover of the demo. The immunization of the mobile robot demo is programmed with Java to test effectiveness of the approach. Some worms infected the mobile robot demo, and caused the abnormity. The results of the immunization simulations show that the immune program can detect 100% worms, recognize all known Worms and most unknown worms, and eliminate the worms. Moreover, the damaged files of the mobile robot demo can all be repaired through the normal model and immunization. Therefore, the immune modelling of the mobile robot demo is effective and programmable in some anti-worms and abnormity detection applications.

An end-to-end anastomosis model of guinea pig bile duct:A 6-mo observation

AIM:To establish the end-to-end anastomosis (EEA) model of guinea pig bile duct and evaluate the healing process of bile duct.METHODS:Thirty-two male guinea pigs were randomly divided into control group,2-,3-,and 6-mo groups after establishment of EEA model.Histological,immunohistochemical and serologic tests as well as measurement of bile contents were performed.The bile duct diameter and the diameter ratio (DR) were measured to assess the formation of relative stricture.RESULTS:Acute and chronic inflammatory reactions occurred throughout the healing process of bile duct.Serology test and bile content measurement showed no formation of persistent stricture in 6-mo group.The DR revealed a transient formation of relative stricture in 2-mo group in comparation to control group (2.94 ± 0.17 vs 1.89 ± 0.27,P=0.004).However,this relative stricture was released in 6-mo group (2.14 ± 0.18,P=0.440).CONCLUSION:A simple and reliable EEA model of guinea pig bile duct can be established with a good reproducibility and a satisfactory survival rate.

EXPRESSION OF PEDF mRNA AND PROTEIN IN NORMAL MOUSE RETINA AND EXPERIMENTAL CHOROIDAL NEOVASCULARIZATION TISSUES

Objective To study the expression of pigment epithelium derived factor (PEDF) in normal mouse retina and experimental choroidal neovascularization (CNV) tissues. Methods CNV mouse models were induced by diode laser. The expression of PEDF mRNA and protein in normal mouse retina and CNV tissues were detected by in situ hybridization and immunohistochemical study. Results In normal mouse retina, PEDF mRNA was observed in the ganglion cell layer, inner nuclear layer and RPE cell layer, and PEDF protein was observed mainly in the nerve fiber layer, ganglion cell layer, photoreceptor cell layer and RPE cell layer, and lower level expression of PEDF protein was also observed in the inner plexiform layer and outer plexiform layer. In CNV tissues, the expression of PEDF mRNA and protein was also observed. 3d and 1 week after photocoagulation, the expression level of PEDF was relatively lower, and increased following the development of CNV. The level was the highest 2 weeks after photocoagulation, then decreased at 3 weeks. Conclusion PEDF was expressed in different layers of retina and was obviously expressed in the CNV tissues induced by laser photocoagulation. These findings suggest that PEDF may participate and modulate the development of CNV.

Effects of Wenxiao Ⅱ Decoction on the expression of MCP-1 and VCAM-1 in atherosclerotic rabbits

OBJECTIVE:To observe the effects of different doses of Wenxiao Ⅱ Decoction on the expression of monocyte chemoattractant protein-1(MCP-1) and vascular cell adhesion molecule-1(VCAM-1) in an experimental model of atherosclerosis in rabbits and to explore the mechanism by which it alleviates atherosclerosis.METHODS:Sixty 3-4 month-old New Zealand rabbits of both sexes were randomly divided into six groups:simvastain;model;blank;and high-dose,mid-dose,and low-dose Wenxiao Ⅱ Decoction groups.Except for those in the blank group,all rabbits were fed a high-cholesterol diet.Carotid atherosclerosis was established by balloon-induced injury to the endothelium of the carotid artery in conjunction with consumption of a high-cholesterol diet.After 8 weeks,all rabbits were killed to evaluate the expression of MCP-1 and VCAM-1 by immunohistochemical staining.RESULTS:Expressions of MCP-1 and VCAM-1 were significantly decreased in all groups except the blank group compared with the model group(P<0.05).When compared with the simvastain group only variation of MCP-1 expression in low-dose group was not appreciable,and the differences were indistinct(P<0.05).When comparing among Wenxiao Ⅱ Decoction groups,MCP-1 expression in the mid-and high-dose groups was significantly lower than that seen in the low-dose group(P<0.01),but there were no differences among three dosage groups with respect to VCAM-1 expression(P>0.05).CONCLUSION:These data suggested that high,mid,and low doses of Wenxiao Ⅱ Decoction can inhibit the expression of MCP-1 and VCAM-1,which may prevent the formation of or stabilize atherosclerotic plaques.There may be a direct relationship between the dosage of Wenxiao Ⅱ Decoction and its therapeutic efficacy.

MODELING THE SPREAD OF HIV IN A STAGE STRUCTURED POPULATION： EFFECT OF AWARENESS

Human immunodeficiency virus （HIV） is a lenti-virus （a member of the retrovirus family） that causes acquired immunodeficieney syndrome （AIDS）, a critical condition in humans in which progressive failure of the immune system allows life-threatening opportunis- tic infections. Over the past few years HIV has been spreading rapidly in the popula- tion. Almost, everyday there are thousands of new human cases of HIV infection being recorded in the world and these occur in almost every country of the world. However, the spread of HIV is relatively faster in the developing countries as compared to developed countries because developing countries have limited resources. Worldwide, 70% of HIV infections in the adults have been transmitted through heterosexual contact and vertical transmission accounts for more than 90~ of global infection in infants and children. In this paper, we propose a nonlinear mathematical model to study the spread of HIV by considering transmission of disease by heterosexual contact and vertical transmission. A stage structured model is proposed and analyzed by considering the total population variable and dividing the whole population under consideration into three stages： chil- dren, adults and old. Also, in this paper it is assumed that the rates of recruitment are different in different groups of population. Equilibria of the model and their stability are also discussed. Using the stability theory of differential equations and computer simu- lation, it is shown that due to the increase in the awareness of the disease in the adult class the total infective population decreases in the region under consideration.